PhD: AI-Driven Nano-Laser Optics for Power-Efficient Links

DTU Electro; Kongens Lyngby; On-site; DKK 420,000 - 480,000; Full time

Job summary

DTU Electro invites applications for a PhD scholarship in AI-driven optimization of optical links based on nano-lasers, under the POPCOM and NANOPHOT programs. The project targets energy-efficient signaling with maximum spectral efficiency and involves algorithm development and experimental validation.

The candidate will combine fiber optics, laser physics, machine learning, and AI-based optimization to realize robust transmitter/receiver architectures. Enrolment in DTU's PhD program is required.

Qualifications

• Two-year master's degree (120 ECTS) or equivalent.
• Solid background in fiber optics, laser-physics, communication engineering, machine learning, and AI-based agentic frameworks.
• Experience with ML/AI optimization frameworks and experimental work is a plus.

Responsibilities

• Develop an AI-driven optimization framework for power-efficient signaling and apply it to transmitter/receiver architectures.
• Design and implement robust transmitter and receiver architectures enabling high spectral efficiency.
• Apply gradient-based learning and model-free reinforcement learning to signaling problems.
• Develop physics-informed neural networks and data-driven models for nano-laser systems.
• Maintain and organize experimental test-beds and collaborative campaigns.

Skills

Fiber optics

Laser physics

Communication engineering

Machine learning

AI-based optimization

Education

Two-year masters degree (120 ECTS) or equivalent

Tools

GitHub

Job description

DTU Electro invites applications for a PhD scholarship in AI-driven optimization of optical links based on nano-lasers, under the POPCOM and NANOPHOT programs. The project targets energy-efficient signaling with maximum spectral efficiency and involves algorithm development and experimental validation.

The candidate will combine fiber optics, laser physics, machine learning, and AI-based optimization to realize robust transmitter/receiver architectures. Enrolment in DTU's PhD program is required.